I initially aimed to start a robotics company, believing it would be the first successful business built on deep learning, but I ended up at OpenAI to learn from smart people and gain expertise in deep learning.

We started working with OpenAI on language models in 2019 and with the Department of Defense on AI applications in 2020, well before the recent AI craze.

When we started using OpenAI, we transitioned from 14% to over 85% month-over-month usage of large language model tools, with 94% of people reporting increased AI fluency.

The development of large language models (LLMs) like GPT-2 marked a significant turning point for OpenAI, showcasing the potential of AI.

I'm a founder at OpenAI, focusing on robotics and the application of deep learning in this field.

The creation of OpenAI was driven by the desire to ensure AI development was open and beneficial to the broader startup ecosystem.

When we started OpenAI, I was convinced that deep learning was genuinely working and that it improved with scale. This realization was crucial because it seemed like others weren't recognizing its potential.

Language models are currently the primary focus of AI development, which was not anticipated 15 years ago when we were exploring physical grounding in AI.

Our strong relationship with OpenAI stems from our ability to provide feedback on model performance based on our specific use cases, which has helped improve their offerings.